<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.4">Jekyll</generator><link href="https://index.biohackrxiv.org//feed/by_tag/BGDC.xml" rel="self" type="application/atom+xml" /><link href="https://index.biohackrxiv.org//" rel="alternate" type="text/html" /><updated>2026-07-10T17:02:49+00:00</updated><id>https://index.biohackrxiv.org//feed/by_tag/BGDC.xml</id><title type="html">BioHackrXiv Preprints</title><subtitle>Preprints for BioHackathons</subtitle><author><name>GitHub User</name><email>your-email@domain.com</email></author><entry><title type="html">SnpReportR: A Tool for Clinical Reporting of RNAseq Expression and Variants</title><link href="https://index.biohackrxiv.org//2021/06/29/5j7cm.html" rel="alternate" type="text/html" title="SnpReportR: A Tool for Clinical Reporting of RNAseq Expression and Variants" /><published>2021-06-29T00:00:00+00:00</published><updated>2021-06-29T00:00:00+00:00</updated><id>https://index.biohackrxiv.org//2021/06/29/5j7cm</id><content type="html" xml:base="https://index.biohackrxiv.org//2021/06/29/5j7cm.html"><![CDATA[<p>With the increasing availability of next-generation sequencing (NGS), patients and non-specialist health care professionals are obtaining their genomic information without sufficient bioinformatics skills to analyze and interpret the data. In January 2021, four teams of scientists,clinicians, and developers from around the world worked collaboratively in a virtual hackathon to create a framework for the automated analysis and interpretation of RNA sequencing data inthe clinic. Here, we present SnpReportR: A Tool for Clinical Reporting of RNAseq Expression and Variants aimed for use by clinicians and others without in-depth knowledge of genetics.</p>]]></content><author><name>Ahmad Al Khleifat</name></author><category term="BGDC" /><summary type="html"><![CDATA[With the increasing availability of next-generation sequencing (NGS), patients and non-specialist health care professionals are obtaining their genomic information without sufficient bioinformatics skills to analyze and interpret the data. In January 2021, four teams of scientists,clinicians, and developers from around the world worked collaboratively in a virtual hackathon to create a framework for the automated analysis and interpretation of RNA sequencing data inthe clinic. Here, we present SnpReportR: A Tool for Clinical Reporting of RNAseq Expression and Variants aimed for use by clinicians and others without in-depth knowledge of genetics.]]></summary></entry></feed>